Başlık için Mühendislik Fakültesi listeleme
Toplam kayıt 847, listelenen: 503-522
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Localization of leakages in underwater natural gas pipelines for multipath propagation
(Ieee, 2018)Underwater natural gas pipelines (UNGPs) are frequently used to transport natural gas, which is an important energy resource. UNGPs can get punctured because of several reasons such as especially corrosion and their ... -
Long-term ageing characteristics of cemented paste backfill: Usability of sand as a partial substitute of hazardous tailings
(Elsevier, 2023)Considering environmental problems caused by sulfidic tailings as a result of long-term ageing as well as inadequacies in their gradations in ensuring the strength needed for cemented paste backfill (CPB), there is a need ... -
Low-cost multi-mode diode pumped Tm:YLF laser: Multi-color & Q-switching operations
(Elsevier, 2019)In this paper, we report a low-cost multi-mode AlGaAs laser diode pumped broadly-tunable solid-state Tm:YLF laser at room-temperature operating in two different regimes: multi-color and Q-switching. A low-cost multimode ... -
Low-cost multimode diode-pumped Tm:YAG and Tm:LuAG lasers
(2019)We report a continuous-wave operation of Tm:YAG and Tm:LuAG lasers pumped with a low-cost, multimode AlGaAs laser diode. First, the lifetime and the absorbance behavior of 5 mm, 6% Tm3+ -doped YAG and LuAG crystals were ... -
Machinability properties of Al-7Si, Al-7Si-4Zn and Al-7Si-4Zn-3Cu alloys
(Springer Heidelberg, 2020)Al-7Si, Al-7Si-4Zn, Al-7Si-4Zn-3Cu alloys were produced by permanent mold casting method to investigate the effects of copper and zinc additions on the machinability properties of Al-7Si alloy. the structural and mechanical ... -
Machine learning applications in industrial solid ash
(Elsevier, 2024)Machine Learning Applications in Industrial Solid Ash begins with fundamentals in solid ash, covering the status of solid ash generation and management. The book moves on to foundational knowledge on ML in solid ash ... -
Machine learning based feature optimization and early detection system in heart diseases
(IEEE, 2023)In today's world, humanity faces a myriad of challenges, many of which pose significant threats to our well-being. Chief among these challenges are health-related issues. Among these health problems, heart diseases stand ... -
Machine learning driven optimization and parameter selection of multi-surface HTS Maglev
(Elsevier, 2024)This research aims to tackle the challenges posed by precise force measurement for high temperature superconducting (HTS) Maglev systems, including mechanical constraints, step motor limitations, and sensor resolutions. ... -
Machine learning models to estimate the elastic modulus of weathered magmatic rocks
(Springer, 2021)In recent years, several soft computing models have been proposed to estimate the elastic modulus of magmatic rocks. However, there are lacks in models that consider the different weathering degrees in determining the ... -
The magnetic and magnetocaloric properties of CoMnGe1-xGax alloys
(Elsevier Science Sa, 2014)The magnetic and magnetocaloric properties of CoMnGe1 Ga-x(x) (0.02 <= x <= 0.063) alloys have been investigated by using calorimetric, X-ray diffraction and magnetic measurements. Our results show that the structural and ... -
Magnetic energy conversion
(Elsevier Inc., 2018)In this study, magnetic and electromagnetic energy conversion of magnetocaloric materials (MCMs) and magnetic refrigeration, which is based on magnetocaloric effect (MCE), is presented in detail and made apprehensible. The ... -
Magnetic features of boron doping on Hf2Co11 thin films
(Springer, 2018)The effect of boron (B) doping on the structural and magnetic properties is studied systematically in the Hf2Co11 thin films. the modified crystal microstructure and annealing process enhanced the coercive field up to 1754 ... -
Magnetic force performance of hybrid multisurface HTS maglev system with auxiliary onboard PMs
(IEEE, 2023)The vertical levitation force, guidance force, and magnetic stiffness values, and thus the loading capacity and movement stability of high-temperature superconducting (HTS) Maglev systems, are aimed to be increased in this ... -
Magneto-impedance in Co35Fe65/Cu/Co35Fe65 single and Bi-layer thin films
(Korean Inst Metals Materials, 2020)The magneto-impedance response in Co35Fe65/Cu/Co35Fe65 thin film magneto-impedance cells deposited by the thermal evaporation method has been studied with single and bilayer structures at the substrate temperature 300 K ... -
Magnetocaloric effect of ball-milled CoMn0.95V0.05Ge nano-powders
(Elsevier B.V., 2021)We have studied the magnetic properties and magnetocaloric effect of ball milled CoMn0.95V0.05Ge alloy by means of temperature and field dependence of magnetisation measurements. CoMn0.95V0.05Ge nano-powders with different ... -
Magnetocaloric effect with very small magnetic hysteresis losses of CoMn1-xTixGe Alloys
(SpringerSpringer, 2017)The effects of Ti substitution for Mn and heat treatment on structural, magnetic, and magnetocaloric properties of CoMnGe alloy have been investigated using electron microscopy, X-ray diffraction, calorimetric, and magnetic ... -
The magnetostructural and magnetocaloric properties of CoMnGe1-xGaxB0.015 (x=0.05 and 0.06) alloys
(Elsevier Science Bv, 2014)The magnetostructural and magnetocaloric properties of CoMnGe1-xGaxB0.015 (x=0.05 and 0.06 are named Alloy-1 and Alloy-2, respectively) alloys have been investigated by X-ray powder diffraction, calorimetric and magnetization ... -
Magnetostructural transition in Co-Mn-Ge systems tuned by valence electron concentration
(Elsevier Science Sa, 2019)The effects of annealing process and chemical pressure on the structural and magnetocaloric properties of CoMn1-xVxGe (x=0.05 and 0.10) alloys have been studied. Rietveld refinement of XRD patterns revealed that all samples ... -
The magnetothermal characterization of Ni-Cu-Mn-Sn alloy
(Pergamon-Elsevier Science Ltd., 2021)The substantial study presents the structural and magnetic phase transitions in the Ni46.8Cu2.5Mn36.5Sn14.3 alloy through AC susceptibility measurement and heat capacity measurement in a zero magnetic field. To check whether ... -
MARS: Machine learning based Adaptable and Robust Network Management for Software-defined Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)Traditional networks were initially designed to scale fast, but in turn are harder to monitor and manage. The rise in the Internet of Things (IoT) has caused an increase in the number of mobile nodes and thus the topology ...
